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# Senior Data Consultant

- **Company:** AND Digital
- **Location:** Reading, UK
- **Experience:** Expert
- **Salary:** £49,074.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Business Logic, Microsoft Azure, Extract Transform Load (ETL), Data Stores, Data Systems, Data Warehousing, Cloud Services, Data Strategy
- **Published:** July 2, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5783942823

## About the Role

* Experience using ETL tools to ingest, transform and store data.
 * Experience designing and developing cloud data platforms (AWS, GCP or Azure preferable)
 * Good knowledge of data warehouse patterns and an understanding of best practices for storing and modelling data.
 * Excellent communication, with great interpersonal skills allowing you to connect effectively with senior stakeholders so that you can influence and get buy-in for new ideas

It's helpful if you also have:

 * Some experience in areas such as experimentation or data science
 * The ability to move between various client assignments throughout your career within the AND Consulting team
 * The ability to spot and develop commercial opportunities for AND Digital either for yourself, AND Consulting or AND as a whole - ie building relationships, spotting and developing opportunities beyond Insight & Data.

## Description

A hybrid role focusing on the intersection of business processes and data strategy. They work closely with Process and Operations Subject Matter Experts (SMEs) to ensure the data solutions actually land and are adopted by the frontline business.

 * Expected Skills: Business process mapping, gap analysis, operational workflow expertise, change management, training and adoption strategies, and strong communication skills to bridge the gap between technical squads and frontline hotel/commercial staff.

Expectations

 * Conduct gap analysis and define what "good" looks like for business metrics, helping to resolve conflicting metric definitions (eg; standardising RevPAR across departments).
 * Investigate and map out complex business logic and operational workflows to ensure the data products solve actual pain points rather than just presenting numbers.
 * Drive cultural change and data literacy within the specific business domain to ensure the products are adopted and trusted.


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